starts_with("Value"), names_to = "Variable", values_to = "Value") # 绘制条形图 ggplot(df_long, aes(x = Category, y = Value, fill = Variable)) + geom_bar(stat = "identity", position = "dodge") + labs(title = "Bar Chart with Multiple Columns", x = "Category", y...
例子 # Inserting datavacc<-data.frame(catgry=rep(c("Covishield","Covaxin"),each=2),dose=rep(c("D1","D2"),2),slots=c(33,45,66,50))library(ggplot2)# Plotting basic line with multiple groupsplt<-ggplot(data=vacc,aes(x=dose,y=slots,group=catgry))+geom_line()+geom_point(color...
p12 <- ggbarplot(df3, x = "dose", y = "len", add = "mean") p12 1 2 3 4 5 6 # Add error bars: mean_se 添加不同类型的误差棒 # (other values include: mean_sd, mean_ci, median_iqr, ...) # Add labels p13 <-...
Here’s how simple it is to use that new geom:ggplot(snowfall2000s, aes(x = Winter, y = Total)) + my_geom_col()Sharon MachlisGraph created with a custom ggpackets geom.ggpackets is by Doug Kelkhoff and is available on CRAN.Easier ggplot2 code: ggblanket and othersggplot2 is incr...
Aesthetics: 美学映射,比如将变量映射给x,y坐标轴,或者映射给颜色、大小、形状等图形属性; Geometry: 几何对象,比如柱形图、直方图、散点图、线图、密度图等。 在ggplot2中有两个主要绘图函数:qplot()以及ggplot()。 qplot(): 顾名思义,快速绘图;
注意:y轴默认为变量weight的数量即count,如果y轴要显示密度,可用以下代码: a+geom_area(aes(y=..density..), stat = "bin") 1. 可以通过修改不同属性如透明度、填充颜色、大小、线型等自定义图形: 密度图 使用以下函数: geom_density():绘制密度图 geom_vline():添加竖直线 scale_color_manual():手动修...
gg <- ggplot(midwest, aes(x=area, y=poptotal)) + geom_point(aes(col=state, size=popdensity)) + geom_smooth(method="loess", se=F) + xlim(c(0, 0.1)) + ylim(c(0, 500000)) + labs(title="Area Vs Population", y="Population", x="Area", caption="Source: midwest") ...
翻转和反转X和Y轴(Flipping and Reversing X and Y Axis) 分面:在一个图形中绘制多个图(Faceting: Draw multiple plots within one figure) 修改图背景,长轴和短轴(Modifying Plot Background, Major and Minor Axis) 参考文档 http://r-statistics.co/Complete-Ggplot2-Tutorial-Part1-With-R-Code.html ...
x)))+ scale_fill_manual(values = c("#00a087","#4dbbd5","#968bc8"))+ geom_text(data=data.frame(x=c(1,2,3),y=c(0.2,0.6,0.99),label=c("c","b","a")), aes(x=x,y=y,label=label))+ annotate(geom = "text",x=2,y=1.5,label="p=2.22x10-16") image.png 示例数据...
(df2) ## sex time bill ## 1 Female breakfeast 10 ## 2 Female Lunch 30 ## 3 Female Dinner 15 ## 4 Male breakfeast 13 ## 5 Male Lunch 40 ## 6 Male Dinner 17 # Line plot with multiple groups # Change line types and colors by groups (sex) ggplot(df2, aes(x=time, y=bill,...